2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen vision-language model for visual reasoning, documents, and agent tasks
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows
Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows
Lightweight multimodal Qwen model for high-throughput text, image, and video tasks
Multimodal Qwen workhorse for long-context agents, visual inputs, and coding
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Earlier Qwen multimodal workhorse for million-token agent and document tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Efficient Qwen model for fast chat, extraction, and high-volume workloads
Qwen coding model for software agents, repository edits, and code reasoning
Hosted Qwen coder for software agents, repo edits, and long-context code
Efficient Qwen model for fast chat, extraction, and high-volume workloads
Qwen instruction model for multilingual chat, reasoning, and tool use
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen3.8 Max (0803) is the August 3, 2026 checkpoint of Qwen3.8 Max, the flagship model in Alibaba's Qwen3.8 series and the general-availability successor to the Qwen3.8 Max Preview. It is...
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen3.8 Max 0902alibaba/qwen3.8-max-0902 | 1M | $1.71 | $5.14 | 2026-09-02 | |||
| Qwen3.8 Flashalibaba/qwen3.8-flash | 1M | $0.15 | $0.47 | 2026-08-26 | |||
| Qwen3.8 Maxalibaba/qwen3.8-max | 1M | $2 | $6 | 2026-08-03 | |||
| Qwen3.8 Max Previewalibaba/qwen3.8-max-preview | 1M | $2 | $6 | 2026-07-19 | |||
| Qwen3.7 Flashalibaba/qwen3.7-flash | 1M | $0.028 | $0.113 | 2026-07-15 | |||
| Qwen3.7 Plusalibaba/qwen3.7-plus | 1M | $0.5 | $3 | 2026-06-02 | |||
| Qwen3.7 Maxalibaba/qwen3.7-max | 1M | $2.5 | $7.5 | 2026-05-21 | |||
| Qwen3.6 Flashalibaba/qwen3.6-flash | 1M | $0.188 | $1.125 | 2026-04-27 | |||
| Qwen3.6 Plusalibaba/qwen3.6-plus | 1M | $0.5 | $3 | 2026-04-02 | |||
| Qwen3.5 Flashalibaba/qwen3.5-flash | 1M | $0.029 | $0.287 | 2026-02-23 | |||
| Qwen3.5 Plusalibaba/qwen3.5-plus | 1M | $0.4 | $2.4 | 2026-02-16 | |||
| Qwen Flashalibaba/qwen-flash | 1M | $0.05 | $0.4 | 2025-07-28 | |||
| Qwen3 Coder Flashalibaba/qwen3-coder-flash | 1M | $0.3 | $1.5 | 2025-07-28 | |||
| Qwen3 Coder Plusalibaba/qwen3-coder-plus | 1.04858M | $1 | $5 | 2025-07-23 | |||
| Qwen Turboalibaba/qwen-turbo | 1M | $0.05 | $0.2 | 2024-11-01 | |||
| Qwen Plusalibaba/qwen-plus | 1M | $0.4 | $1.2 | 2024-01-25 | |||
| Qwen: Qwen3.8 2.4T A95B (batch)qwen/qwen3.8-2.4t-a95b:batch | 1.01M | $2 | $6 | — | |||
| Qwen: Qwen3.8 Max (0803)qwen/qwen3.8-max | 1M | $2 | $6 | — | |||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | 1M | $0.42 | $3 | — | |||
| Qwen: Qwen3.5 Plus 2026-04-20qwen/qwen3.5-plus-20260420 | 1M | $0.3 | $1.8 | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | 1M | $0.15 | $0.47 | — | |||
| Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | 1M | $2 | $6 | — | |||
| Qwen: Qwen Plus 0728qwen/qwen-plus-2025-07-28 | 1M | $0.26 | $0.78 | — | |||
| Qwen: Qwen3.6 Flashqwen/qwen3.6-flash | 1M | $0.188 | $1.125 | — | |||
| Qwen: Qwen3.7 Flashqwen/qwen3.7-flash | 1M | $0.03 | $0.13 | — | |||
| Qwen: Qwen3.7 Maxqwen/qwen3.7-max | 1M | $1.475 | $4.425 | — | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1M | $0.26 | $1.56 | — | |||
| Qwen: Qwen-Plusqwen/qwen-plus | 1M | $0.26 | $0.78 | — | |||
| Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | 1M | $0.065 | $0.26 | — | |||
| Qwen: Qwen3 Coder Flashqwen/qwen3-coder-flash | 1M | $0.195 | $0.975 | — | |||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | 1M | $2 | $6 | — | |||
| Qwen: Qwen Plus 0728 (thinking)qwen/qwen-plus-2025-07-28:thinking | 1M | $0.26 | $0.78 | — | |||
| Qwen: Qwen3.7 Plusqwen/qwen3.7-plus | 1M | $0.32 | $1.28 | — | |||
| Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plus | 1M | $0.65 | $3.25 | — | |||
| Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 1M | $0.325 | $1.95 | — |